Upload app.py
Browse files
app.py
CHANGED
@@ -492,35 +492,44 @@ def pdbsummary(name):
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return answer
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def render_html(pdb_id
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if pdb_id is None
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return ""
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html_content = f"""
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<html>
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<
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<script src="https://3Dmol.org/build/3Dmol-min.js"></script>
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<script src="https://3Dmol.org/build/3Dmol.ui-min.js"></script>
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<body>
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<div
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data-pdb="{pdb_id}"
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data-
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data-style="cartoon:color=
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data-select1="chain:{chain}"
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data-zoomto="chain:{chain}"
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data-style1="cartoon:color=spectrum"
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data-spin="axis:y;speed:0.2">
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</div>
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</body>
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</html>
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"""
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iframe = f"""
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<iframe style="width: 100%; height: 480px; border: none;"
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srcdoc='{html_content}'>
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</iframe>
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"""
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return iframe
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def create_interactive_table(df):
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if df.empty:
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return go.Figure()
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values=list(df.columns),
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fill_color='paleturquoise',
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align='center', # ํค๋ ์ค์ ์ ๋ ฌ
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font=dict(size=16), # ํค๋ ๊ธ์ ํฌ๊ธฐ ์ฆ๊ฐ
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),
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cells=dict(
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values=[
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@@ -588,7 +597,7 @@ app_ui = ui.page_fluid(
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margin: 0 auto;
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}
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#query {
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height:
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font-size: 16px;
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padding: 15px;
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width: 80%;
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@@ -612,26 +621,29 @@ app_ui = ui.page_fluid(
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margin: 20px 0;
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}
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.example-box {
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padding: 20px;
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text-align: left;
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}
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.example-box p {
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font-weight: bold;
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margin-bottom: 10px;
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padding-left:
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}
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.example-box ul {
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margin: 0;
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padding-left:
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}
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.example-box li {
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word-wrap: break-word;
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margin: 10px 0;
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line-height: 1.5;
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}
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.query-label {
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display: block;
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@@ -681,87 +693,326 @@ app_ui = ui.page_fluid(
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.status-spinner.active {
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display: inline-block;
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}
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""")
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),
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ui.div(
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{"class": "content-wrapper"},
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ui.h2("Advanced PDB Structure Search Tool"),
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ui.
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),
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ui.input_text_area(
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"query",
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"",
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value="Human insulin",
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width="100%",
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resize="vertical"
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),
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)
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),
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ui.
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ui.
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ui.
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)
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)
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)
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)
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),
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ui.row(
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ui.column(12,
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ui.h4("Search Parameters:"),
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ui.div(
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{"class": "status-box"},
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ui.tags.span("Status: ", class_="status-label"),
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ui.output_text("search_status", inline=True),
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ui.tags.div(
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{"class": "status-spinner"},
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ui.tags.i({"class": "fas fa-spinner fa-spin"})
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)
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)
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)
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)
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)
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),
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ui.row(
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ui.column(12,
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ui.div(
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{"class": "3d-iframe", "id": "3d-iframe"}, # css ๋ฏธ์ค์
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ui.h4("3D Render"),
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ui.output_ui("output_iframe")
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)
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)
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)
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)
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)
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assistant = PDBSearchAssistant()
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results_store = reactive.Value({"type": None, "results": []})
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status_store = reactive.Value("Ready")
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@reactive.Effect
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@reactive.event(input.search)
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query_results = assistant.process_query(input.query())
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results_store.set(query_results)
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if query_results["type"] == "sequence":
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if not query_results["results"]:
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status_store.set("No sequences found")
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else:
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status_store.set("Ready")
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else:
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df = pd.DataFrame(query_results["results"])
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if df.empty:
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status_store.set("No structures found")
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else:
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status_store.set("Ready")
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@output
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@render_widget
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def results_table():
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return create_interactive_table(df)
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@output
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@render.text
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def search_status():
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return status_store.get()
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@output
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@render.download(filename="pdb_search_results.csv")
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def download():
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current_results = results_store.get()
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if current_results["type"] == "structure":
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df = pd.DataFrame(current_results["results"])
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else:
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df = pd.DataFrame(current_results["results"])
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return df.to_csv(index=False)
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@output
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@render.text
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def sequence_output():
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if
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if not sequences:
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return "No sequences found"
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output_text.append(formatted_sequence)
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output_text.append("-" * 60) # ๊ตฌ๋ถ์ ๊ธธ์ด๋ ์กฐ์
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@output
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@render.
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def output_iframe():
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current_results = results_store.get()
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if current_results["type"] == "structure":
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-
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# chain ๊ฐ์ ธ์ค๋ ๊ฑด ์์ง
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return render_html(pdb_id, "A")
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else:
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-
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app = App(app_ui, server)
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return answer
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+
def render_html(pdb_id):
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if pdb_id is None:
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return ""
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html_content = f"""
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+
<!DOCTYPE html>
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<html>
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501 |
+
<head>
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<script src="https://3Dmol.org/build/3Dmol-min.js"></script>
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<script src="https://3Dmol.org/build/3Dmol.ui-min.js"></script>
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<style>
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.viewer_3Dmoljs {{
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width: 100%;
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height: 400px;
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position: relative;
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}}
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</style>
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</head>
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<body>
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<div class="viewer_3Dmoljs"
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data-pdb="{pdb_id}"
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data-backgroundcolor="0xffffff"
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data-style="cartoon:color=spectrum"
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data-spin="axis:y;speed:0.2">
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</div>
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</body>
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</html>
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"""
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# HTML ์ด์ค์ผ์ดํ ์ฒ๋ฆฌ
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escaped_content = (html_content
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.replace('"', '"')
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.replace('<', '<')
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.replace('>', '>')
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.replace('\n', '')
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)
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return f'<iframe style="width: 100%; height: 480px; border: none;" srcdoc=\'{escaped_content}\'></iframe>'
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+
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def create_interactive_table(df):
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534 |
if df.empty:
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return go.Figure()
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547 |
values=list(df.columns),
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fill_color='paleturquoise',
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549 |
align='center', # ํค๋ ์ค์ ์ ๋ ฌ
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550 |
+
font=dict(size=16), # ํค๋ ๊ธ์ ํฌ๊ธฐ ์ฆ๊ฐs
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551 |
),
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552 |
cells=dict(
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553 |
values=[
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597 |
margin: 0 auto;
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598 |
}
|
599 |
#query {
|
600 |
+
height: 300px;
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601 |
font-size: 16px;
|
602 |
padding: 15px;
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603 |
width: 80%;
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621 |
margin: 20px 0;
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622 |
}
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623 |
.example-box {
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624 |
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height: 250px;
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625 |
+
margin: 0;
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626 |
+
background-color: white;
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627 |
+
border: 1px solid #dee2e6;
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628 |
padding: 20px;
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629 |
+
border-radius: 8px;
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630 |
+
overflow-y: auto;
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631 |
text-align: left;
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632 |
}
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633 |
.example-box p {
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634 |
font-weight: bold;
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635 |
margin-bottom: 10px;
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636 |
+
padding-left: 0;
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637 |
}
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638 |
.example-box ul {
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639 |
margin: 0;
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640 |
+
padding-left: 20px;
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641 |
}
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642 |
.example-box li {
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643 |
word-wrap: break-word;
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644 |
margin: 10px 0;
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645 |
line-height: 1.5;
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646 |
+
text-align: left;
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647 |
}
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648 |
.query-label {
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649 |
display: block;
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.status-spinner.active {
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display: inline-block;
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}
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+
.3d-viewer-container {
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text-align: center;
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margin: 20px auto;
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padding: 20px;
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background-color: #f8f9fa;
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border-radius: 8px;
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width: 90%;
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}
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.3d-iframe {
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margin-top: 15px;
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border: 1px solid #ddd;
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border-radius: 4px;
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}
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+
.3d-viewer-container select {
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margin: 15px auto;
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padding: 8px;
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+
font-size: 16px;
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border-radius: 4px;
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border: 1px solid #ced4da;
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}
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.tool-description {
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text-align: center;
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color: #666;
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margin: 0 auto 30px;
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max-width: 800px;
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line-height: 1.6;
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font-size: 1.1em;
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}
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.main-content {
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display: flex;
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flex-direction: column;
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gap: 20px;
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}
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.search-section {
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730 |
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background-color: #f8f9fa;
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border-radius: 12px;
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+
padding: 25px;
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margin-bottom: 20px;
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}
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735 |
+
.example-box {
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+
height: 100%;
|
737 |
+
margin: 0;
|
738 |
+
background-color: white;
|
739 |
+
border: 1px solid #dee2e6;
|
740 |
+
padding: 20px;
|
741 |
+
border-radius: 8px;
|
742 |
+
}
|
743 |
+
.status-text {
|
744 |
+
margin-top: 10px;
|
745 |
+
color: #666;
|
746 |
+
font-size: 0.9em;
|
747 |
+
}
|
748 |
+
.status-label {
|
749 |
+
font-weight: bold;
|
750 |
+
margin-right: 5px;
|
751 |
+
}
|
752 |
+
.status-spinner {
|
753 |
+
display: none;
|
754 |
+
margin-left: 10px;
|
755 |
+
vertical-align: middle;
|
756 |
+
}
|
757 |
+
.status-spinner.active {
|
758 |
+
display: inline-block;
|
759 |
+
}
|
760 |
+
.query-header {
|
761 |
+
display: flex;
|
762 |
+
justify-content: space-between;
|
763 |
+
align-items: center;
|
764 |
+
margin-bottom: 10px;
|
765 |
+
}
|
766 |
+
.query-label {
|
767 |
+
margin: 0;
|
768 |
+
font-weight: bold;
|
769 |
+
}
|
770 |
+
.btn-primary {
|
771 |
+
margin-left: 15px;
|
772 |
+
}
|
773 |
+
.query-header {
|
774 |
+
margin-bottom: 10px;
|
775 |
+
}
|
776 |
+
.query-label-group {
|
777 |
+
display: flex;
|
778 |
+
align-items: center;
|
779 |
+
gap: 10px; /* ๋ผ๋ฒจ๊ณผ ๋ฒํผ ์ฌ์ด ๊ฐ๊ฒฉ */
|
780 |
+
}
|
781 |
+
.query-label {
|
782 |
+
margin: 0;
|
783 |
+
font-weight: bold;
|
784 |
+
}
|
785 |
+
.btn-primary {
|
786 |
+
padding: 5px 15px;
|
787 |
+
}
|
788 |
+
.viewer-section {
|
789 |
+
background-color: #f8f9fa;
|
790 |
+
border: 1px solid #dee2e6;
|
791 |
+
border-radius: 8px;
|
792 |
+
padding: 20px;
|
793 |
+
margin: 20px 0;
|
794 |
+
}
|
795 |
+
.viewer-content {
|
796 |
+
margin-top: 15px;
|
797 |
+
}
|
798 |
+
.viewer-content select {
|
799 |
+
max-width: 200px;
|
800 |
+
margin: 0 auto 15px;
|
801 |
+
display: block;
|
802 |
+
}
|
803 |
+
.viewer-iframe {
|
804 |
+
background-color: white;
|
805 |
+
border-radius: 4px;
|
806 |
+
padding: 10px;
|
807 |
+
}
|
808 |
+
h4 {
|
809 |
+
margin: 0;
|
810 |
+
color: #333;
|
811 |
+
}
|
812 |
+
.results-section {
|
813 |
+
background-color: #f8f9fa;
|
814 |
+
border: 1px solid #dee2e6;
|
815 |
+
border-radius: 8px;
|
816 |
+
padding: 20px;
|
817 |
+
margin: 20px 0;
|
818 |
+
}
|
819 |
+
.viewer-section, .sequence-section {
|
820 |
+
background-color: #f8f9fa;
|
821 |
+
border: 1px solid #dee2e6;
|
822 |
+
border-radius: 8px;
|
823 |
+
padding: 20px;
|
824 |
+
margin: 20px 0;
|
825 |
+
height: 100%;
|
826 |
+
}
|
827 |
+
.sequence-content {
|
828 |
+
background-color: white;
|
829 |
+
border-radius: 4px;
|
830 |
+
padding: 15px;
|
831 |
+
margin-top: 15px;
|
832 |
+
max-height: 600px;
|
833 |
+
overflow-y: auto;
|
834 |
+
font-family: monospace;
|
835 |
+
white-space: pre-wrap;
|
836 |
+
word-wrap: break-word;
|
837 |
+
overflow-x: hidden;
|
838 |
+
text-align: left;
|
839 |
+
}
|
840 |
+
.sequence-text {
|
841 |
+
word-break: break-all;
|
842 |
+
margin: 10px 0;
|
843 |
+
line-height: 1.5;
|
844 |
+
text-align: left;
|
845 |
+
}
|
846 |
+
.status-spinner {
|
847 |
+
display: none;
|
848 |
+
margin-left: 10px;
|
849 |
+
vertical-align: middle;
|
850 |
+
}
|
851 |
+
.status-spinner.active {
|
852 |
+
display: inline-block;
|
853 |
+
}
|
854 |
+
.query-header {
|
855 |
+
display: flex;
|
856 |
+
justify-content: space-between;
|
857 |
+
align-items: center;
|
858 |
+
margin-bottom: 10px;
|
859 |
+
}
|
860 |
+
.query-label {
|
861 |
+
margin: 0;
|
862 |
+
font-weight: bold;
|
863 |
+
}
|
864 |
+
.btn-primary {
|
865 |
+
margin-left: 15px;
|
866 |
+
}
|
867 |
+
.query-header {
|
868 |
+
margin-bottom: 10px;
|
869 |
+
}
|
870 |
+
.query-label-group {
|
871 |
+
display: flex;
|
872 |
+
align-items: center;
|
873 |
+
gap: 10px; /* ๋ผ๋ฒจ๊ณผ ๋ฒํผ ์ฌ์ด ๊ฐ๊ฒฉ */
|
874 |
+
}
|
875 |
+
.query-label {
|
876 |
+
margin: 0;
|
877 |
+
font-weight: bold;
|
878 |
+
}
|
879 |
+
.btn-primary {
|
880 |
+
padding: 5px 15px;
|
881 |
+
}
|
882 |
+
.viewer-section {
|
883 |
+
background-color: #f8f9fa;
|
884 |
+
border: 1px solid #dee2e6;
|
885 |
+
border-radius: 8px;
|
886 |
+
padding: 20px;
|
887 |
+
margin: 20px 0;
|
888 |
+
}
|
889 |
+
.viewer-content {
|
890 |
+
margin-top: 15px;
|
891 |
+
}
|
892 |
+
.viewer-content select {
|
893 |
+
max-width: 200px;
|
894 |
+
margin: 0 auto 15px;
|
895 |
+
display: block;
|
896 |
+
}
|
897 |
+
.viewer-iframe {
|
898 |
+
background-color: white;
|
899 |
+
border-radius: 4px;
|
900 |
+
padding: 10px;
|
901 |
+
}
|
902 |
+
h4 {
|
903 |
+
margin: 0;
|
904 |
+
color: #333;
|
905 |
+
}
|
906 |
+
.btn-info {
|
907 |
+
margin-top: 15px;
|
908 |
+
}
|
909 |
""")
|
910 |
),
|
911 |
ui.div(
|
912 |
{"class": "content-wrapper"},
|
913 |
ui.h2("Advanced PDB Structure Search Tool"),
|
914 |
+
ui.div(
|
915 |
+
{"class": "tool-description"},
|
916 |
+
"An AI-powered search tool for exploring protein structures in the Protein Data Bank (PDB). ",
|
917 |
+
"Search by protein name, sequence, resolution, experimental method, or organism to find relevant structures. ",
|
918 |
+
"You can also retrieve amino acid sequences for specific PDB IDs."
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
919 |
),
|
920 |
+
ui.div(
|
921 |
+
{"class": "main-content"},
|
922 |
+
ui.div(
|
923 |
+
{"class": "search-section"},
|
924 |
+
ui.row(
|
925 |
+
ui.column(8,
|
926 |
+
ui.div(
|
927 |
+
{"class": "query-header"},
|
928 |
+
ui.div(
|
929 |
+
{"class": "query-label-group"},
|
930 |
+
ui.tags.label(
|
931 |
+
"Search Query",
|
932 |
+
{"class": "query-label", "for": "query"}
|
933 |
+
),
|
934 |
+
ui.input_action_button("search", "Search",
|
935 |
+
class_="btn-primary")
|
936 |
+
)
|
937 |
+
),
|
938 |
+
ui.input_text_area(
|
939 |
+
"query",
|
940 |
+
"",
|
941 |
+
value="Human insulin",
|
942 |
+
width="100%",
|
943 |
+
resize="vertical"
|
944 |
+
),
|
945 |
+
ui.div(
|
946 |
+
{"class": "status-text"},
|
947 |
+
ui.tags.span("Status: ", class_="status-label"),
|
948 |
+
ui.output_text("search_status", inline=True),
|
949 |
+
ui.tags.i({"class": "fas fa-spinner fa-spin status-spinner"})
|
950 |
+
)
|
951 |
+
),
|
952 |
+
ui.column(4,
|
953 |
+
ui.div(
|
954 |
+
{"class": "example-box"},
|
955 |
+
ui.p("Example queries:"),
|
956 |
+
ui.tags.ul(
|
957 |
+
ui.tags.li("Human hemoglobin C resolution better than 2.5ร
"),
|
958 |
+
ui.tags.li("Find structures containing sequence MNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPSLNAAKSELDKAIGRNTNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVITTFRTGTWDAYKNL"),
|
959 |
+
ui.tags.li("Sequence of PDB ID 8ET6")
|
960 |
+
)
|
961 |
+
)
|
962 |
)
|
963 |
+
),
|
964 |
+
),
|
965 |
+
ui.row(
|
966 |
+
ui.column(12,
|
967 |
+
ui.div(
|
968 |
+
{"class": "results-section"},
|
969 |
+
ui.h4("Top 10 PDBs Results"),
|
970 |
+
output_widget("results_table"),
|
971 |
+
ui.download_button("download", "Download Results",
|
972 |
+
class_="btn btn-info")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
973 |
)
|
974 |
)
|
975 |
+
),
|
976 |
+
ui.row(
|
977 |
+
# 3D Viewer Column
|
978 |
+
ui.column(6,
|
979 |
+
ui.div(
|
980 |
+
{"class": "viewer-section"},
|
981 |
+
ui.h4("3D Structure Viewer"),
|
982 |
+
ui.div(
|
983 |
+
{"class": "viewer-content"},
|
984 |
+
ui.input_select(
|
985 |
+
"selected_pdb",
|
986 |
+
"Select PDB ID",
|
987 |
+
choices=[]
|
988 |
+
),
|
989 |
+
ui.div(
|
990 |
+
{"class": "viewer-iframe"},
|
991 |
+
ui.output_ui("output_iframe")
|
992 |
+
)
|
993 |
+
)
|
994 |
+
)
|
995 |
+
),
|
996 |
+
# Sequence Results Column
|
997 |
+
ui.column(6,
|
998 |
+
ui.div(
|
999 |
+
{"class": "sequence-section"},
|
1000 |
+
ui.h4("Sequences"),
|
1001 |
+
ui.div(
|
1002 |
+
{"class": "viewer-content"},
|
1003 |
+
ui.input_select(
|
1004 |
+
"selected_seq_pdb",
|
1005 |
+
"Select PDB ID",
|
1006 |
+
choices=[]
|
1007 |
+
),
|
1008 |
+
ui.div(
|
1009 |
+
{"class": "sequence-content"},
|
1010 |
+
ui.output_text("sequence_output")
|
1011 |
+
)
|
1012 |
+
)
|
1013 |
+
)
|
1014 |
)
|
1015 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1016 |
)
|
1017 |
)
|
1018 |
)
|
|
|
1021 |
assistant = PDBSearchAssistant()
|
1022 |
results_store = reactive.Value({"type": None, "results": []})
|
1023 |
status_store = reactive.Value("Ready")
|
1024 |
+
pdb_ids_store = reactive.Value([])
|
1025 |
|
1026 |
@reactive.Effect
|
1027 |
@reactive.event(input.search)
|
|
|
1031 |
query_results = assistant.process_query(input.query())
|
1032 |
results_store.set(query_results)
|
1033 |
|
1034 |
+
pdb_ids = []
|
1035 |
+
|
1036 |
if query_results["type"] == "sequence":
|
1037 |
if not query_results["results"]:
|
1038 |
status_store.set("No sequences found")
|
1039 |
else:
|
1040 |
status_store.set("Ready")
|
1041 |
+
for line in input.query().split():
|
1042 |
+
if re.match(r'^[0-9A-Za-z]{4}$', line):
|
1043 |
+
pdb_ids.append(line.upper())
|
1044 |
else:
|
1045 |
df = pd.DataFrame(query_results["results"])
|
1046 |
if df.empty:
|
1047 |
status_store.set("No structures found")
|
1048 |
else:
|
1049 |
status_store.set("Ready")
|
1050 |
+
pdb_ids = df['PDB ID'].tolist()
|
1051 |
@output
|
1052 |
@render_widget
|
1053 |
def results_table():
|
1054 |
return create_interactive_table(df)
|
1055 |
+
|
1056 |
+
if pdb_ids:
|
1057 |
+
pdb_ids_store.set(pdb_ids)
|
1058 |
+
# Update both dropdowns with the same PDB IDs
|
1059 |
+
ui.update_select(
|
1060 |
+
"selected_pdb",
|
1061 |
+
choices=pdb_ids,
|
1062 |
+
selected=pdb_ids[0]
|
1063 |
+
)
|
1064 |
+
ui.update_select(
|
1065 |
+
"selected_seq_pdb",
|
1066 |
+
choices=pdb_ids,
|
1067 |
+
selected=pdb_ids[0]
|
1068 |
+
)
|
1069 |
+
else:
|
1070 |
+
pdb_ids_store.set([])
|
1071 |
+
ui.update_select(
|
1072 |
+
"selected_pdb",
|
1073 |
+
choices=[],
|
1074 |
+
selected=None
|
1075 |
+
)
|
1076 |
+
ui.update_select(
|
1077 |
+
"selected_seq_pdb",
|
1078 |
+
choices=[],
|
1079 |
+
selected=None
|
1080 |
+
)
|
1081 |
+
|
1082 |
@output
|
1083 |
@render.text
|
1084 |
def search_status():
|
1085 |
return status_store.get()
|
1086 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1087 |
@output
|
1088 |
@render.text
|
1089 |
def sequence_output():
|
1090 |
+
selected_pdb = input.selected_seq_pdb()
|
1091 |
+
if not selected_pdb:
|
1092 |
+
return "No PDB ID selected"
|
|
|
|
|
1093 |
|
1094 |
+
sequences = assistant.get_sequences_by_pdb_id(selected_pdb)
|
1095 |
+
if not sequences:
|
1096 |
+
return f"No sequences found for PDB ID: {selected_pdb}"
|
1097 |
+
|
1098 |
+
output_text = []
|
1099 |
+
for seq in sequences:
|
1100 |
+
output_text.append(f"\nChain {seq['chain_id']} (Entity {seq['entity_id']}):")
|
1101 |
+
output_text.append(f"Description: {seq['description']}")
|
1102 |
+
output_text.append(f"Length: {seq['length']} residues")
|
1103 |
+
output_text.append("Sequence:")
|
|
|
|
|
1104 |
|
1105 |
+
# Format sequence with line breaks every 60 characters
|
1106 |
+
sequence = seq['sequence']
|
1107 |
+
# Add spaces every 10 characters for better readability
|
1108 |
+
sequence = ' '.join(sequence[i:i+10] for i in range(0, len(sequence), 10))
|
1109 |
+
# Then split into lines of 60 characters (plus spaces)
|
1110 |
+
formatted_sequence = '\n'.join([sequence[i:i+66] for i in range(0, len(sequence), 66)])
|
1111 |
+
output_text.append(formatted_sequence)
|
1112 |
+
output_text.append("-" * 60)
|
1113 |
+
|
1114 |
+
return "\n".join(output_text)
|
1115 |
|
1116 |
@output
|
1117 |
+
@render.ui
|
1118 |
def output_iframe():
|
1119 |
+
selected_pdb = input.selected_pdb()
|
1120 |
+
if selected_pdb:
|
1121 |
+
return ui.HTML(render_html(selected_pdb))
|
1122 |
+
return ui.HTML("")
|
1123 |
+
|
1124 |
+
@output
|
1125 |
+
@render.download(filename="pdb_search_results.csv")
|
1126 |
+
def download():
|
1127 |
current_results = results_store.get()
|
1128 |
if current_results["type"] == "structure":
|
1129 |
+
df = pd.DataFrame(current_results["results"])
|
|
|
|
|
1130 |
else:
|
1131 |
+
df = pd.DataFrame(current_results["results"])
|
1132 |
+
return df.to_csv(index=False)
|
1133 |
|
1134 |
app = App(app_ui, server)
|
1135 |
|